A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...

Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Research from Nadcab Labs’ 2026 analysis exposes fraud patterns in multi-level marketing crypto schemes, including Ponzi structures ...

Understanding how dendrites that form in thin films could be the key to next-generation materials for beyond-5G communications technologies. (Nanowerk News) In materials science, thin films are ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Living organisms share an ancestor called the last universal common ancestor, or LUCA. LUCA is estimated to have lived ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Consumer Analyst Group of New York Conference 2026 February 18, 2026 5:00 PM ESTCompany ParticipantsRahul Goyal ...